Data Engineer

Tradition is the interdealer broking arm of Compagnie Financière Tradition and one of the world's largest interdealer brokers in over-the-counter financial and commodity related products. CFT is represented in over 28 countries, employing over 2,500 people.

Tradition’s goal is to provide superior client services. It believes its business success is a direct reflection of its employees and recruits. As such, teamwork, creativity, reliability and integrity are components of a work ethic taken very seriously since the company was founded in 1959.

Tradition is currently seeking to appoint a Data Engineer to be based in our Lausanne office.

Main responsibilities within the Data Engineer position include:

Data Modelling & Business Analysis

• Translate business concepts into scalable, well-structured transformation pipelines and analytical models.
• Design and build trusted, reusable, and well-documented data products that are discoverable, reliable, and support multiple use cases.
• Data product mindset: ability to think in terms of reusable, well-defined, consumer-focused datasets.
• Drive data quality, consistency, and modelling best practices.

Monitoring & Platform Reliability

• Own and continuously improve the monitoring and observability ecosystem.
• Proactively identify issues, performance bottlenecks, and data quality concerns.
• Develop alerts, dashboards, and operational procedures that enable rapid issue detection and resolution.

Application Support & Incident Management

• Investigate and resolve production incidents across the data platform.
• Support a growing user base by responding to operational and business requests.
• Collaborate with engineering teams to identify root causes and implement long-term solutions.
• Help maintain the reliability and availability of critical data services

Key skills and experience required in this role:

• 3+ years of experience in Data Engineering, Software Engineering, or a related field.
• Proven experience supporting production systems and monitoring data pipelines or applications, as well as building and maintaining analytical data models.
• Strong experience with SQL, Python, dbt, Docker, Kubernetes, OpenSearch or similar logging tools, Prometheus and Grafana (or equivalent observability tools), and cloud-native data platforms and modern data architectures.
• Ability to translate complex business needs into data models and products, with a strong focus on business value; knowledge of dimensional modeling and analytics engineering is a plus.
• Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Excellent English communication skills; proactive, collaborative, and self-driven with a strong sense of ownership and accountability.

Tradition do not accept agency CV’s. Please do not forward CV’s to our employees or Talent team. Tradition are not accountable for any fees related to unsolicited resumes. The Talent team will reach out to trusted agents when required.

Please note, due to the large volume of applications for this position, only suitable candidates will be contacted. If you have not heard from us within 14 days, unfortunately, your application has been unsuccessful.

Tradition welcome all suitable applications and are an equal opportunity employer who value diversity. All employment is decided on the basis of qualifications and merit.

By applying for this role, you agree that we may retain your details on our system for a period of 6 months and may contact you for any future vacancies that may arise within the Tradition Group.